School of Computer Science & Engineering, Changshu Institute of Technology, Changshu, 215500, China.
J Med Syst. 2019 Apr 8;43(5):137. doi: 10.1007/s10916-019-1254-0.
Wearable devices, wireless networks and body area networks have become an effective way to solve the problem of human health monitoring and care. However, the radiation problems of wireless devices, the power supply problems of wearable devices and the deployment of body area networks have become obstacles to their wide application in the field of health care. In order to solve the above problems, this paper studies and designs a wearable health medical body area network which is convenient for human health monitoring and medical care, starting from low-cost deployment of wireless wearable devices and active control of wireless radiation. Firstly, in order to avoid replacing equipment batteries, improve the relay and data aggregation capabilities of wireless body area network, and reduce the communication and computing load of edge devices, a deployment scheme of wireless medical health wearable devices is designed based on the optimal segmentation algorithm of Steiner spanning tree. Then, in order to minimize the charging cost and maximize the global charging utility of single source and multiple points in a finite time slot, an approximate algorithm for the optimal charging sequence based on 01 knapsack problem, i.e., the access path of wireless wearable devices, is designed. Then, an active radiation control algorithm for wearable medical health body area network is proposed, which can actively control the transmission power and radiation status of these wireless devices. Finally, simulation results show that the proposed algorithm is better than battery-powered wireless body area network and wireless rechargeable body area network, 16% and 44% reduction of devices, 25%13% reduction of energy consumption, 26% reduction of radiation, and 5.18 and 1.13 times improvement of signal quality.
可穿戴设备、无线网络和体域网已成为解决人体健康监测和护理问题的有效手段。然而，无线设备的辐射问题、可穿戴设备的供电问题以及体域网的部署已成为其在医疗保健领域广泛应用的障碍。为了解决上述问题，本文从低成本部署无线可穿戴设备和主动控制无线辐射出发，研究和设计了一种便于人体健康监测和医疗的可穿戴健康医疗体域网。首先，为了避免更换设备电池、提高无线体域网的中继和数据聚合能力、降低边缘设备的通信和计算负载，基于 Steiner 生成树的最优分割算法设计了无线医疗可穿戴设备的部署方案。然后，为了最小化充电成本和最大化有限时隙内单点到多点的全局充电效用，设计了基于 01 背包问题的最优充电序列近似算法，即无线可穿戴设备的接入路径。然后，提出了一种可穿戴医疗体域网的主动辐射控制算法，能够主动控制这些无线设备的传输功率和辐射状态。最后，仿真结果表明，所提出的算法优于电池供电的无线体域网和无线可充电体域网，设备数量减少了 16%和 44%，能量消耗减少了 25%和 13%，辐射减少了 26%，信号质量提高了 5.18 倍和 1.13 倍。
